Sunitinib First-line Treatment in Metastatic Renal Cell Carcinoma: Costs and Effects.

BACKGROUND/AIM: Tyrosine kinase inhibitors are important in the treatment of metastatic renal cell cancer (mRCC). The aim of the study was to evaluate the costs and effects of sunitinib in mRCC. PATIENTS AND METHODS: A total of 81 mRCC patients who received first-line sunitinib therapy between 2010 and 2014 were recruited. Drug doses, laboratory and imaging studies, outpatient visits and inpatient stays were recorded. Health-related quality of life (HRQoL) was measured (15D- and EQ-5D - 3L questionnaires). RESULTS: The cost of sunitinib (mean 22,268 €/patient range 274 € to 105,121 €) covered 73% of the total costs during the treatment period. The total treatment cost was 30,530 €/patient (range=1,661-111,516 €). The median overall survival was 17.9 months. HRQoL decreased during treatment. CONCLUSION: The main cost during sunitinib treatment of mRCC was the drug itself (73% of the total costs). Drug costs and HRQoL should be considered when choosing treatment for mRCC.

Development and evaluation of a virtual microscopy application for automated assessment of Ki-67 expression in breast cancer.

BACKGROUND: The aim of the study was to develop a virtual microscopy enabled method for assessment of Ki-67 expression and to study the prognostic value of the automated analysis in a comprehensive series of patients with breast cancer. METHODS: Using a previously reported virtual microscopy platform and an open source image processing tool, ImageJ, a method for assessment of immunohistochemically (IHC) stained area and intensity was created. A tissue microarray (TMA) series of breast cancer specimens from 1931 patients was immunostained for Ki-67, digitized with a whole slide scanner and uploaded to an image web server. The extent of Ki-67 staining in the tumour specimens was assessed both visually and with the image analysis algorithm. The prognostic value of the computer vision assessment of Ki-67 was evaluated by comparison of distant disease-free survival in patients with low, moderate or high expression of the protein. RESULTS: 1648 evaluable image files from 1334 patients were analysed in less than two hours. Visual and automated Ki-67 extent of staining assessments showed a percentage agreement of 87% and weighted kappa value of 0.57. The hazard ratio for distant recurrence for patients with a computer determined moderate Ki-67 extent of staining was 1.77 (95% CI 1.31-2.37) and for high extent 2.34 (95% CI 1.76-3.10), compared to patients with a low extent. In multivariate survival analyses, automated assessment of Ki-67 extent of staining was retained as a significant prognostic factor. CONCLUSIONS: Running high-throughput automated IHC algorithms on a virtual microscopy platform is feasible. Comparison of visual and automated assessments of Ki-67 expression shows moderate agreement. In multivariate survival analysis, the automated assessment of Ki-67 extent of staining is a significant and independent predictor of outcome in breast cancer.